IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as "eerie") is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

Project news

• 2024-05-23: IREE joins the LF AI & Data Foundation as a sandbox-stage project

Project status

Release status

Releases notes are published on GitHub releases.

Package	Release status
GitHub release (stable)
GitHub release (nightly)
Python iree-base-compiler
Python iree-base-runtime

Build status

Nightly build status

Operating system	Build status
Linux
macOS
Windows

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

Communication channels

• GitHub issues: Feature requests, bugs, and other work tracking
• IREE Discord server: Daily development discussions with the core team and collaborators
• (New) iree-announce email list: Announcements
• (New) iree-technical-discussion email list: General and low-priority discussion
• (Legacy) iree-discuss email list: Announcements, general and low-priority discussion

Related project channels

• MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture overview

See our website for more information.

Presentations and talks

Community meeting recordings: IREE YouTube channel

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.